Data Structures and Algorithms with Python (5 op)

Tavoitteet

After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.

Sisältö

- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques

Aika ja paikka

Course environment is Metropolia's Moodle environment and course can be done in own pace.

Oppimateriaalit

Online.

Opetusmenetelmät

Course is 100% online (self-study) course which can be done in own pace.

Harjoittelu- ja työelämäyhteistyö

N/A

Tenttien ajankohdat ja uusintamahdollisuudet

Online in course pace.

Kansainvälisyys

N/A

Toteutuksen valinnaiset suoritustavat

N/A

Opiskelijan ajankäyttö ja kuormitus

Depends on the student's starting level.

Sisällön jaksotus

Up to student her-/himself.

Arviointiasteikko

Hyväksytty/Hylätty

Arviointikriteerit, tyydyttävä (1)

- Passed exam

Arviointimenetelmät ja arvioinnin perusteet

Pass after all of tasks and Final has been approved.

Osaamistavoitteet

After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.

Sisältö

- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques